Position: Predictive Analytics Analyst
Role Overview
The Predictive Analytics Analyst will support predictive and
advanced analytics initiatives by applying statistical modeling, data analysis,
and visualization techniques to solve complex business problems. This role
focuses on transforming large and complex datasets into actionable insights
that support decision‑making across the organization.
Key Responsibilities
- Support
predictive and advanced analytics initiatives across multiple domains
- Apply
advanced analytical techniques including, but not limited to:
- Multivariate
regression
- Discrete
choice modeling
- Conjoint
analysis
- MaxDiff
- Structural
equation modeling
- Time-series
and panel data methods
- Path
analysis, factor analysis, and survival analysis
- Interpret
analytical results and translate them into clear, actionable insights
- Design
and develop data visualizations and dashboards
- Implement
and code analytical algorithms and models
- Work
with outcome-oriented datasets to support forecasting and performance
measurement
- Collaborate
with cross-functional teams to deliver analytics solutions
Qualifications & Skills
Predictive Analytics & Modeling Expertise (25%)
- Strong
experience with statistical modeling and predictive techniques
- Application
of forecasting, segmentation, and classification methods
- Practical
use of analytics tools such as Python, SQL, and Databricks
- Ability
to apply advanced methods to real-world business problems
Data Management & Technical Proficiency (20%)
- Experience
working with large and complex datasets
- Knowledge
of data pipelines and enterprise data environments
- Familiarity
with Azure or comparable cloud platforms
- Data
preparation, integration, and quality assurance experience
Insight Generation & Business Impact (20%)
- Ability
to translate data into meaningful, actionable insights
- Experience
influencing decision-making through analytics
- Defining
KPIs and measurement frameworks
- Producing
clear, relevant analytical outputs
Visualization & Communication (15%)
- Experience
building dashboards and reports using Power BI or equivalent tools
- Ability
to explain complex analytical concepts clearly
- Strong
stakeholder engagement and data storytelling skills
- Tailoring
insights for technical and non-technical audiences
Collaboration & Delivery (10%)
- Experience
working in cross-functional and agile teams
- Strong
collaboration with business and technical stakeholders
- Contribution
to team delivery timelines and outcomes
- Adaptability
in fast-paced environments
Leadership & Mentorship (10%)
- Experience
mentoring or coaching analysts
- Providing
technical guidance and setting analytical standards
- Promoting
best practices in analytics and data usage
- Supporting
team capability development
Must-Have Requirements
- Hands-on
experience with Python, SQL, and Databricks
- Experience
with Power BI and SQL
- Knowledge
of enterprise data pipelines and environments
- Familiarity
with Azure or comparable cloud platforms
- Experience
implementing and managing Google Analytics tracking codes and Google Tag
Manager
About Symbiotic Digital
Symbiotic Digital provides the IT Experts you need that
solve problems and get things done. See what the top 2% in their field can do
for you. (Symbiotic Digital is a division of Symbiotic Group Inc.)
We serve customers in two ways:
- Digital
Experts: IT Consulting expertise — Bright Minds That Produce Proven
Results
- Recruitment: Find The Right People You Need
Learn more: https://www.symbioticgroup.com/home-sd/
Skills Required
- Hands-on experience with Python, SQL, and Databricks
- Experience with Power BI
- Knowledge of enterprise data pipelines and environments
- Familiarity with Azure or comparable cloud platforms
- Experience implementing and managing Google Analytics tracking codes and Google Tag Manager
What We Do
Symbiotic Group Inc. is a consulting company that helps SMBs drive measurable results in sales, digital marketing, and operations. They also provide IT consulting services and focus on advancing business and career opportunities for Indigenous peoples.
